Course unit title

Multivariate Statistics

Course unit code

MAS602

Type of course unit (compulsory,optional)

Compulsory

Level of course unit (according to

EQF: first cycle Bachelor, second cycle Master)

The Second cycle of Master Degree Program

Year of study when the course unit is delivered

(if applicable)

2020-2021

Semester/trimester when the course unit is delivered

The First Semester of Master Study

Number of ECTS credits allocated

3 Credits (4.8 ECTS)

Name of lecturer(s)
  1. Prof. Dr. Tanti Handriana, SE.,M.Si
  2. Dr. Yetty Dwi Lestari, S.E., MT

Learning outcomes of the course unit

Students are expected to be able to apply multivariate statistical techniques for management & business research and business decision making

Mode of delivery (face-to-face, distance learning)

face-to-face

Prerequisites and co-requisites (if applicable)

-

Course content

This course discusses multivariate statistical methods involve more than one explanatory variables. The course materials include introduction & review of basic statistics, Overview of multivariate methods, Exploratory Factor Analysis (EFA), Multiple Regression Analysis, Multiple Discriminant Analysis, Logistics Regression, MANOVA, Conjoint Analysis, Cluster Analysis, MDS (Multi-Dimensional Scaling) , Correspondence Analysis, Structural Equation Modeling (SEM) – Overview, Confirmatory Factor Analysis (CFA), and SEM Testing.

Recommended or required

Reading and other learning resources/tools
  1. Hair J.F., W. C. Black, B. J. Babin, and R. E. Anderson, 2014, Multivariate Data Analysis, 7th edition, Pearson, USA..
  2. Lind; D.A.; W.G. Marchal, & S.A. Wathen, 2012, Statistical Technique in Business & Economics, 15th edition,McGraw Hill/Irwin, USA.

Planned learning activities and teaching methods

Lectures, Discussions, Exercises,and Assignments

Language of instruction

Indonesian

Assessment methods and criteria

Individual participation (20%), group assignment (15%), group participation (15%), midterm & final exams (50%)